The purpose of this study was to present the heat transfer coefficients and flow patterns during the condensation of R134a inside an inclined smooth tube at low mass fluxes and different temperature differences (the ...

In this study, numerical simulations of the condensation of R134a inside an inclined smooth tube are conducted. The effects of different parameters such as saturation temperature, tube inclination angle, vapour quality, ...

In this study, the convection heat transfer and pressure drop of titanium dioxide–water nanofluids were modeled by applying the fuzzy C-means adaptive neuro-fuzzy inference system approach for a completely developed turbulent ...

In the present work, a numerical approach is proposed to simulate two phase pool boiling on a staggered tube bundle. The simulations are carried out using the Eulerian–Eulerian framework for two phase flows, accounting for ...

In this work, condensation of steam inside a long inclined flattened channel was studied numerically. The simulated case is a flattened channel with a length of 10.7 m and a very high aspect ratio. The channel width and ...

In this study, an adaptive neuro-fuzzy inference system (ANFIS) is proposed for the prediction and optimization of condensation heat transfer coefficient and pressure drops along an inclined smooth tube. The performance ...